{"id":"https://openalex.org/W7204146332","doi":"https://doi.org/10.32614/cran.package.saehb.spatial.beta","title":"saeHB.Spatial.Beta: Small Area Estimation Hierarchical Bayes for Spatial Beta Model","display_name":"saeHB.Spatial.Beta: Small Area Estimation Hierarchical Bayes for Spatial Beta Model","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7204146332","doi":"https://doi.org/10.32614/cran.package.saehb.spatial.beta"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.saehb.spatial.beta","doi":"https://doi.org/10.32614/cran.package.saehb.spatial.beta","is_oa":false,"landing_page_url":"https://doi.org/10.32614/cran.package.saehb.spatial.beta","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147963371","display_name":"Boby Iwan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boby Iwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038289145","display_name":"Cucu Sumarni","orcid":"https://orcid.org/0000-0001-5370-2944","observed_orcids":["https://orcid.org/0000-0001-5370-2944"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cucu Sumarni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.5327000021934509,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.5327000021934509,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.39649999141693115,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.038100000470876694,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/small-area-estimation","display_name":"small area estimation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.7889999747276306},{"id":"https://openalex.org/keywords/beta-distribution","display_name":"beta distribution","score":0.7580000162124634},{"id":"https://openalex.org/keywords/proportion","display_name":"proportion","score":0.6370000243186951},{"id":"https://openalex.org/keywords/simultaneous-autoregressive-model","display_name":"simultaneous autoregressive model","score":0.8740000128746033},{"id":"https://openalex.org/keywords/conditional-autoregressive-model","display_name":"conditional autoregressive model","score":0.968999981880188},{"id":"https://openalex.org/keywords/spatial-autocorrelation","display_name":"spatial autocorrelation","score":0.8500000238418579},{"id":"https://openalex.org/keywords/survey-data","display_name":"survey data","score":0.37599998712539673},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.7360000014305115}],"concepts":[{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.48660001158714294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47380000352859497},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42340001463890076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4129999876022339},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3188999891281128},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C2776174256","wikidata":"https://www.wikidata.org/wiki/Q830842","display_name":"BETA (programming language)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2596000134944916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.saehb.spatial.beta","doi":"https://doi.org/10.32614/cran.package.saehb.spatial.beta","is_oa":false,"landing_page_url":"https://doi.org/10.32614/cran.package.saehb.spatial.beta","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1484712862","https://openalex.org/W1639814325","https://openalex.org/W2028226037","https://openalex.org/W2076286726","https://openalex.org/W2476077119","https://openalex.org/W2566177329"],"related_works":["https://openalex.org/W4404631455","https://openalex.org/W4399568908","https://openalex.org/W4399572113","https://openalex.org/W4399590790","https://openalex.org/W4399583058","https://openalex.org/W7100869163","https://openalex.org/W6960240186","https://openalex.org/W4412412008","https://openalex.org/W4399583275","https://openalex.org/W144693366"],"abstract_inverted_index":{"Provides":[0],"several":[1],"functions":[2,68],"and":[3,33,41,50,74,98,111,121,128,130],"datasets":[4],"for":[5,20,69],"area-level":[6],"Small":[7],"Area":[8],"Estimation":[9],"using":[10],"the":[11,46],"Hierarchical":[12],"Bayesian":[13],"(HB)":[14],"method.":[15],"Model-based":[16],"estimators":[17],"are":[18],"designed":[19],"variables":[21],"of":[22],"interest":[23],"that":[24],"follow":[25],"a":[26],"Beta":[27],"distribution":[28],"(proportions":[29],"bounded":[30],"between":[31],"0":[32],"1).":[34],"The":[35,79],"package":[36,81],"supports":[37],"both":[38],"non-spatial":[39],"models":[40,43],"spatial":[42,71,76],"based":[44],"on":[45],"Simultaneous":[47],"Autoregressive":[48,53],"(SAR)":[49],"Leroux":[51,115],"Conditional":[52],"(CAR)":[54],"structures,":[55],"with":[56],"optional":[57],"survey":[58],"design":[59],"effect":[60],"(DEFF)":[61],"adjustments.":[62],"In":[63],"addition,":[64],"it":[65],"provides":[66],"utility":[67],"constructing":[70],"weights":[72],"matrices":[73],"performing":[75],"autocorrelation":[77],"diagnostics.":[78],"'rjags'":[80],"is":[82],"used":[83],"to":[84],"obtain":[85],"posterior":[86],"estimates":[87],"via":[88],"Markov":[89],"Chain":[90],"Monte":[91],"Carlo":[92],"(MCMC).":[93],"For":[94],"references,":[95],"see":[96],"Rao":[97],"Molina":[99],"(2015)":[100],"<doi:10.1002/9781118735855>,":[101],"Liu":[102,105],"(2009)":[103],"<https://api.drum.lib.umd.edu/server/api/core/bitstreams/cb8e2cbf-441e-4f0f-b4b3-6182f3cf24de/content>,":[104],"et":[106,116],"al.":[107,117],"(2014)":[108],"<https://www150.statcan.gc.ca/n1/pub/12-001-x/2014001/article/14030-eng.pdf>,":[109],"Kubacki":[110],"Jedrzejczak":[112],"(2016)":[113],"<doi:10.59170/stattrans-2016-022>,":[114],"(2000)":[118],"<doi:10.1007/978-1-4612-1284-3_4>,":[119],"Chung":[120],"Datta":[122],"(2020)":[123],"<https://www.census.gov/content/dam/Census/library/working-papers/2020/adrm/RRS2020-07.pdf>,":[124],"Anselin":[125,129],"(1988)":[126],"<doi:10.1007/978-94-015-7799-1>,":[127],"Morrison":[131],"(2019)":[132],"<https://spatialanalysis.github.io/lab_tutorials/Spatial_Weights_as_Distance_Functions.html>.":[133]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-08-25T00:00:00"}
